Abstract: A Markov Decision Process (MDP) is a natural framework for formulating sequential decision-making problems under uncertainty. In recent years, researchers have greatly advanced algorithms ...

Editors Note: The first in a three-part introduction to Linear Feedback Shift Registers (LFSRs), this article is abstracted from the book Bebop to the Boolean Boogie (An Unconventional Guide to ...

If you are new to scikit-learn and regression analysis, this tutorial will help you learn by implementing simple linear regression models. For those who want to delve deeper, follow the upcoming ...

The linear function is popular in economics. It is attractive because it is simple and easy to handle mathematically. It has many important applications. Linear functions are those whose graph is a ...

Notifications You must be signed in to change notification settings This tutorial is designed to assist beginners who are learning predictive modeling. It covers the process of building a predictive ...

ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...

ABSTRACT: 4-bit linear relations play an important role in cryptanalysis of 4-bit crypto S-boxes. 4-bit finite differences have also been a major part of cryptanalysis of 4-bit S-boxes. Existence of ...